Master Data Governance Jobs

Lead Trimble's enterprise-wide finance and operations transformation as VP, driving cloud ERP consolidation, Global Business Services design, and AI-enabled automation to scale a unified global back-office.

Lead the migration and standardization of CAD and engineering data into Autodesk Vault Pro while establishing revision control, item master practices, and integrations with PLM/ERP systems.

NIQ is hiring an experienced Commercial Data Manager to set data standards, drive data quality, and govern sales and product data that underpin revenue operations and decision-making.

The Wonderful Company seeks a detail-oriented Master Data Analyst to manage and improve ERP master data, support governance, and deliver high-quality data and reporting across business units.

Inclusive & Diverse

Empathetic

Collaboration over Competition

Growth & Learning

Lead the product roadmap and execution for Mattel's consumer MDM program, owning identity resolution, data onboarding, integrations, and delivery to downstream systems.

AssistRx seeks a detail-oriented Data Steward to maintain data quality and support enterprise data governance across operational and analytical systems.

LinkedIn is seeking a Data Foundations Lead to architect governed semantic and master data layers that make Finance reporting, automation, and decisioning reliable, auditable, and scalable.

Lead end-to-end MDM implementations for pharma clients, guiding technical delivery, client relationships, and team growth to improve commercial data quality and governance.

Lakeshore is hiring a hybrid Business Analyst - MDM to ensure accurate, governed master data in SAP and support scalable data processes across the organization.

Anduril is hiring a Supply Chain Master Data Project Manager to architect and execute master data governance, drive cross-functional cleanup and automation, and improve data quality across supply chain systems.

Lead the design and delivery of governed finance data foundations that provide trusted, auditable, and scalable datasets and semantic layers for reporting and automation.